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Over 300 mammal species yet to be discovered, say ecologists

Almost 303 species of mammals mostly in tropical region are left to be discovered by science, according to ecologists. The new model yielded an estimate of 5,860 mammal species currently in existence - more than previously thought, researchers said.

"With extinction rates increasing, it is extremely important to be able to find new species before they disappear if we want to be able to understand the world that we are living in," said Molly Fisher, a doctoral student at the University of Georgia in the US.

To exact the number of undiscovered mammal species, Fisher and her team had to find a way to estimate as accurately as possible the total number of mammal species, both known and unknown.

Scientists use statistical models to find the accurate numbers, as it is not possible to count all the world's species based on direct observation. Fisher based her approach on one such model that was published in 2011 estimating the total number of plant species.

"We took their method and built onto it. We decided to work with mammals because they are a group that everyone knows, and we are getting to that point where we actually have discovered a majority of them," Fisher said.

Fisher studied records of species descriptions of mammals from 1760 through 2010 and counted how many taxonomists were working and how many species descriptions were published in each five-year increment within that time.

"With this method, we can see the pattern of how many species are described and how that is related to how many taxonomists are working in a time period," she said, adding a statistical technique known as maximum likelihood was used to predict the total number of species.

"Maximum likelihood estimation figures out how many species there are likely to have been to produce the pattern of description that we have seen," she said.

Fisher's model differs in two important ways from the one upon which it was based.

She and her colleagues used a different method to calculate taxonomic efficiency that allows it to increase exponentially over time, thereby reflecting the effects of gains in scientific technique and knowledge.

They also applied a different statistical distribution pattern that was better suited to the kind of data they were studying. Using simulated data sets, the researchers ran thousands of tests of both models and found that theirs was more likely to arrive at the correct number of species.